Home       Trees       Indices       Help   
PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package clfs :: Module stats :: Class AdaptiveNormal
[hide private]
[frames] | no frames]

Class AdaptiveNormal

source code

Adaptive Normal Distribution: params are (0, sqrt(1/nfeatures))
Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
_adapt(self, nfeatures, measure, wdata, vdata=None) source code

Inherited from AdaptiveNullDist: fit

Inherited from FixedNullDist: __init__, __repr__, cdf

Inherited from NullDist: p

Inherited from NullDist (private): _setTail

Inherited from misc.state.ClassWithCollections: __getattribute__, __new__, __setattr__, __str__, reset

Inherited from object: __delattr__, __format__, __hash__, __reduce__, __reduce_ex__, __sizeof__, __subclasshook__

Class Variables [hide private]

Inherited from NullDist: tail

Inherited from NullDist (private): _ATTRIBUTE_COLLECTIONS

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

_adapt(self, nfeatures, measure, wdata, vdata=None)

source code 
Overrides: AdaptiveNullDist._adapt

   Home       Trees       Indices       Help   
PyMVPA: Python MultiVariate Pattern Analysis
Generated by Epydoc 3.0.1 on Mon Apr 23 23:09:22 2012 http://epydoc.sourceforge.net